New Version Of Document Classification Toolkit Makes Unstructured And Handwritten Documents More Manageable
A2iA Corporation, the leading developer of technology for extracting information from handwritten and unstructured documents, announced recently the release of A2iA DocumentReader V3.0. A2iA DocumentReader, a document classification and data extraction toolkit, automatically processes paper documents that contain both handwritten and machine-printed information, and classifies those documents based on both their geometry and content.
The A2iA DocumentReader is an API, which is designed to be integrated into existing enterprise content management, document management, and knowledge management applications, further advancing their capabilities.
The latest release of this API features a new user interface that allows documents to be classified not only at an individual page-level but is able to classify a group of documents together (such as would be found in an envelope or paper file-folder). With an improved ability to efficiently manage high volumes of documents and entire mail items, A2iA DocumentReader utilizes advanced artificial intelligence techniques, along with new geometric and content analyses, to analyze sets of pages found together, known as a "collection". Because A2iA DocumentReader analyzes a group of documents together simultaneously, it corroborates the data from these related sources, improving classification rates and enhancing recognition accuracy.
A2iA DocumentReader is capable of reading free form, cursive handwriting from unstructured documents and can locate and extract key data elements such as social security numbers, phone numbers, dates, and product names. Users can define their own set of keywords and phrases to be located, eliminating the time and cost associated with manually reviewing and sorting through stacks of mail, archives and other documents while permitting these documents to be searched.
"A2iA DocumentReader V3.0 is the only set of tools that handles any type of document – a document drafted by hand whose structure does not conform to any predetermined model or a machine printed form. It empowers a new generation of applications and expands the ability of pre-existing content management and e-discovery systems," said Jean-Louis Fages, A2iA's president and CEO. "A2iA Document Reader V3.0 breaks barriers with its ability to read and extract handwritten information. Proven with successful installations worldwide, A2iA DocumentReader will further advance the capabilities of both real-time business process management and workflow applications, and continue to automatically do for businesses what no amount of manpower can ever achieve manually."
With its ability to process a broad range of documents, those containing handwritten cursive information as well as machine printed information, this latest release of A2iA DocumentReader is expected to expand the capabilities of existing content management, business management, knowledge management, mailroom and e-discovery systems.
Availability
A2iA DocumentReader is available as an add-on or stand-alone engine to service bureaus and other software developers for integration into various business process management, content management, document capture, forms processing,
e-discovery, and OCR/ICR applications. For more information, visit www.a2ia.com.
About A2iA
A2iA, Artificial Intelligence and Image Analysis, is a software company that operates one of the world's largest research centers focusing on ways to extract information from everyday paper documents that contain handwritten information. A2iA's Document Classification, OCR, ICR and IWR technologies have been reducing data-entry costs and improving business process automation for over 16 years. A2iA recognition engines can be used to enhance the formsprocessing, transaction-processing, content management, document management, and knowledge management systems from leading vendors. For more information: www.a2ia.com.
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